imagethis

One-step AI image generation for Claude Code. Type imagethis: <prompt> and it generates the image and loads it into the conversation — no clicks, no back-and-forth. Ships as an MCP server (primary), a CLI (fallback), and a skill (the imagethis: trigger), the same shape as pipethis.

Routes across backends by model, so one tool covers many providers:

Model (model)	Backend	Best for
flux-1.1-pro (default)	Replicate	Photoreal, prompt adherence, in-image text
flux-schnell	Replicate	Fast / cheap drafts
sdxl	Replicate	Stylized art, LoRA/ControlNet breadth
ideogram-v3	Replicate	Text in images — logos, posters, signs
recraft-v3	Replicate	Brand art, vector-style
gpt-image-2	OpenAI	Reasoning, precise editing

A backend activates only when its API key is set — you run just what you have.

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Quick start (one clone)

git clone https://github.com/dbbuilder-org/imagethis.git
cd imagethis

# pass whatever keys you have inline — they never touch the script or git
# macOS / Linux
REPLICATE_API_TOKEN=r8_... OPENAI_API_KEY=sk-... ./install.sh

# Windows (PowerShell)
$env:REPLICATE_API_TOKEN="r8_..."; $env:OPENAI_API_KEY="sk-..."
powershell -ExecutionPolicy Bypass -File .\install.ps1

Then restart Claude Code and type:

imagethis: a golden retriever astronaut on the moon, cinematic lighting

Keys: REPLICATE_API_TOKEN (replicate.com — unlocks FLUX/SDXL/Ideogram/Recraft) and/or OPENAI_API_KEY (unlocks gpt-image-2). At least one is required to generate. Prerequisites: Node.js ≥ 18 and the claude CLI.

Verify: claude mcp list → imagethis … ✔ Connected.

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Usage

• imagethis: <prompt> — generate with the default model.
• Steer the model in plain language: "imagethis: a poster that says GRAND OPENING" → the skill picks ideogram-v3 (best in-image text). Or pass it explicitly by asking for a model / aspect ratio.
• Directly: ask Claude to run generate_image { prompt, model?, aspectRatio? } or list_image_models to see what's configured.

aspectRatio: 1:1 (default), 16:9, 9:16, 3:2, 2:3.

CLI (fallback)

node cli.mjs --prompt "a neon jellyfish" --model flux-schnell --aspect 16:9
node cli.mjs --list            # show models + which backends are configured

Prints JSON with images[].path (saved PNGs) and images[].url.

Not available yet: Meta Muse Image

Meta Muse Image (Superintelligence Labs, launched Jul 2026) is currently consumer-only with no developer API — it can't be integrated here (or via Glif, whose own API is deprecated). It's on the watch-list; when Meta ships an API we add it to the registry as another model.

Behavior

• Images are saved to ~/.imagethis/<timestamp>/ and returned as inline image blocks; Replicate results also include the source URL.
• Missing key → a plain-text backend_not_configured message (not an error); list_image_models shows what's usable.
• Provider content filters / errors surface as api_error with the provider's message.

Uninstall

./uninstall.sh     # macOS / Linux

Windows: claude mcp remove --scope user imagethis and delete %USERPROFILE%\.claude\skills\imagethis.

Develop

node --test        # unit (mock fetch, no keys) + stdio MCP integration

One core (lib.mjs: model registry + generateImage routing); server.mjs and cli.mjs are thin wrappers. fetch is injectable, so routing and request/response handling are fully tested without hitting a paid API.